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Bacteria are an exceedingly diverse group of organisms whose molecular exploration is experiencing a renaissance. While the classical view of bacterial gene expression was relatively simple, the emerging view is more complex, encompassing extensive post-transcriptional control involving riboswitches, RNA thermometers, and regulatory small RNAs (sRNAs) associated with the RNA-binding proteins CsrA, Hfq, and ProQ, as well as CRISPR/Cas systems that are programmed by RNAs. Moreover, increasing interest in members of the human microbiota and environmental microbial communities has highlighted the importance of understudied bacterial species with largely unknown transcriptome structures and RNA-based control mechanisms. Collectively, this creates a need for global RNA biology approaches that can rapidly and comprehensively analyze the RNA composition of a bacterium of interest. We review such approaches with a focus on RNA-seq as a versatile tool to investigate the different layers of gene expression in which RNA is made, processed, regulated, modified, translated, and turned over.
Bacteria, Sequence Analysis, RNA, Gene Expression Profiling, RNA Stability, Gene Expression Regulation, Bacterial, RNA, Bacterial, Structure-Activity Relationship, Bacterial Proteins, Protein Biosynthesis, Nucleic Acid Conformation, RNA Processing, Post-Transcriptional, Transcriptome, Genome, Bacterial
Bacteria, Sequence Analysis, RNA, Gene Expression Profiling, RNA Stability, Gene Expression Regulation, Bacterial, RNA, Bacterial, Structure-Activity Relationship, Bacterial Proteins, Protein Biosynthesis, Nucleic Acid Conformation, RNA Processing, Post-Transcriptional, Transcriptome, Genome, Bacterial
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 169 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 1% | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 1% |